Lead design, development, and production deployment of generative AI and LLM-based solutions. Build and optimize ML pipelines, fine-tune and evaluate models, manage infrastructure on Azure/GCP and Linux, ensure secure handling of PII/PHI, and collaborate across teams to integrate AI into enterprise applications.
Design and implement server-side logic, define and maintain databases, and integrate user-facing elements developed by front-end developers. Ensure high performance and responsiveness of applications, and implement security and data protection measures.
Responsibilities- Design, develop, and deploy Generative AI and machine learning solutions using large language models and modern AI frameworks.
- Implement LLM fine-tuning, prompt engineering, retrieval-augmented generation (RAG), and model optimization techniques.
- Deploy and manage AI/ML pipelines and GenAI applications in production environments using cloud platforms such as Azure or GCP.
- Build and maintain agentic AI systems leveraging modern orchestration and agent frameworks.
- Work with large datasets to build data pipelines and ensure effective model training and evaluation.
- Develop AI solutions using Python and modern ML libraries.
- Manage deployments and infrastructure in Linux-based environments.
- Ensure secure processing and governance of sensitive data, including PII and PHI, adhering to enterprise security and compliance standards.
- Optimize AI models and infrastructure for performance, scalability, reliability, and cost efficiency.
- Collaborate with cross-functional teams to integrate AI models into enterprise applications and production systems.
- Document model architectures, experiments, deployment pipelines, and operational processes.
- Stay current with emerging developments in Generative AI, LLMs, and AI engineering practices.
- Bachelor’s degree in Engineering, Computer Science, AI/ML, Data Science, or a related technical field.
- 10+ years of overall professional experience in software engineering, machine learning, or AI engineering.
- Minimum 3+ years of hands-on experience working with Generative AI technologies and LLMs.
- Strong programming experience in Python.
- Proven experience fine-tuning, deploying, and optimizing large language models.
- Experience deploying Generative AI solutions into production environments.
- Hands-on experience working with Linux-based systems.
- Experience with cloud platforms such as Microsoft Azure or Google Cloud Platform (GCP).
- Experience building ML pipelines and deploying AI models using modern MLOps practices.
- Experience handling and securing sensitive data such as PII and PHI in compliance with security and regulatory requirements.
EXL Chennai, Tamil Nadu, IND Office
Chennai, India
Similar Jobs
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Develop data science and AI solutions using Python and Django, including data collection, labeling, curation, feature engineering, classical machine learning, and generative AI. Deploy models to production using CI/CD, Airflow, and MLflow; automate modeling pipelines and monitor model drift. Collaborate with stakeholders in Agile Scrum teams, improve testing and automation practices, and analyze business requirements.
Top Skills:
AgileAirflowCi/CdDjangoHadoopMlflowPandasPythonScrumSparkSQL
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Build and industrialize reliable, scalable AI solutions and production ML pipelines. Bridge data science and IT production teams, manage Python environments, data sourcing, MLOps, model deployment, Airflow orchestration, Denodo integration, CI/CD, containerization, monitoring, security, and automation. Collaborate with international teams and promote testing, code quality, and technology improvements.
Top Skills:
AgileAmazon S3Apache AirflowBashDenodo PlatformDjangoDockerElkGitlab Ci/CdGrafanaHadoopJenkinsKafkaKibanaKubeflowKubernetesLinuxMambaMicromambaMlflowMlopsPipPostgresPythonScrumSparkUvVql
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Manage enterprise customer accounts as a trusted technical advisor, driving platform adoption, measurable business value, and technical ROI. Develop success plans, troubleshoot complex hardware, software, and API issues, manage escalations, conduct root-cause analysis, and lead technical reviews. Collaborate with Sales, Support, Product, and Engineering while communicating effectively with technical and executive stakeholders. Use AI tools to improve customer insights and outcomes, and contribute to knowledge sharing and team development.
Top Skills:
AIAPIsGainsightGongInternet Of Things (Iot)JIRAPaasPythonSaaSSalesforceTableauZendesk
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
